Serendipitously, Chandrasekaran chanced to satisfy a pair of good technologists with a long time of name middle expertise, Tod Well-known and Slava Zhakov, who shared the identical imaginative and prescient. Even higher, that they had already written a working prototype. They didn’t suppose their very own business would get up earlier than it was too late. Crescendo was born.
AI that works with people
Crescendo’s novel method of utilizing AI with people nonetheless within the loop additionally addresses two elephants within the business’s room. The primary is deflection, which is a well mannered approach of describing how arduous corporations make it for patrons to even learn the way to contact an organization earlier than getting shunted into the FAQ and telephone tree wilderness. Then there may be churn. Unsurprisingly, numerous the business’s jobs are fairly boring, resulting in stratospheric worker churn charges of as much as 50% a 12 months.
Crescendo’s method to AI appears good. As an alternative of throwing tons of of thousands and thousands of huge clusters of GPUs and competing with OpenAI, Google, Meta, and so on., for the newest PhD graduates in AI from MIT, they’ve put people in cost. For Crescendo, AI doesn’t displace people, it enhances them. On the similar time, their proprietary AI software can nonetheless profit from tapping into the world’s largest LLMs and even the personal information bases of their clients to reply the overwhelming majority of shopper questions. Better of all, clients declare they will go into manufacturing with Crescendo in simply two to 4 weeks, and after the primary month, AI is dealing with greater than 90% of the queries robotically and precisely. Thus far they’ve but to expertise a single hallucination and there was zero buyer downtime.